AI tools usually work by taking inputs—like injury type, treatment timeline, and wage loss—and applying broad assumptions. That can be useful for understanding components of a claim, but it often misses what matters most in real disputes.
In New Mexico claims, insurers frequently focus on:
- Fault and timing (what happened first, what could reasonably have been avoided)
- Consistency between early reports and later medical findings
- Whether treatment matches the crash
- How clearly losses are documented
So if your estimate is based on limited details—no photos, incomplete medical notes, unclear work impact—it can swing high or low in ways that don’t reflect what a settlement actually requires.
Bottom line: treat AI as a map, not the destination.


